Seismic response prediction for nonlinear isolation bridges using output only Article Swipe
YOU?
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· 2025
· Open Access
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· DOI: https://doi.org/10.1007/s44285-025-00052-5
In earthquake-prone regions, the rapid post-earthquake evaluation of numerous bridges poses a significant challenge, further exacerbated by infrastructure aging. While monitoring technologies are actively being developed to address this issue, sensor placement and measurement selection remain critical obstacles, as bridges often feature unique design conditions that require generalized analysis methods and exhibit strong nonlinear behavior during earthquakes. Such behavior restricts the applicability of methods relying on linear indicators and typically necessitates direct measurement of earthquake accelerations. This study proposes a method for predicting the seismic response of nonlinear isolation bridges without measured earthquake accelerations, using only a limited number of sensors installed on the bridge (formulated as an output-only joint state–input estimation problem). The approach integrates nonlinear observability analysis of the structure–sensing system with Bayesian state estimation. A case study on a typical seismic isolation bridge demonstrates the applicability and effectiveness of the method. Results show that, when observability conditions and appropriate estimator settings are satisfied, nonlinear structural responses and input seismic accelerations can be reliably reconstructed. The proposed method enhances the cost efficiency of sensing technologies and provides valuable insights for broader practical implementation.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1007/s44285-025-00052-5
- https://link.springer.com/content/pdf/10.1007/s44285-025-00052-5.pdf
- OA Status
- diamond
- References
- 37
- OpenAlex ID
- https://openalex.org/W7106024778
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W7106024778Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1007/s44285-025-00052-5Digital Object Identifier
- Title
-
Seismic response prediction for nonlinear isolation bridges using output onlyWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-11-19Full publication date if available
- Authors
-
Hiroto Yamada, Xinhao He, Shigeki Unjoh, Yuguang FuList of authors in order
- Landing page
-
https://doi.org/10.1007/s44285-025-00052-5Publisher landing page
- PDF URL
-
https://link.springer.com/content/pdf/10.1007/s44285-025-00052-5.pdfDirect link to full text PDF
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YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
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-
https://link.springer.com/content/pdf/10.1007/s44285-025-00052-5.pdfDirect OA link when available
- Concepts
-
Observability, Nonlinear system, Bridge (graph theory), Engineering, Structural health monitoring, Bayesian probability, Estimator, Computer science, Structural engineering, Noise (video), Isolation (microbiology), Probabilistic logic, State estimator, Selection (genetic algorithm), Earthquake engineering, Redundancy (engineering), Control theory (sociology), Consistency (knowledge bases), Seismic isolation, Bayesian inference, Basis (linear algebra), Incremental Dynamic AnalysisTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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-
37Number of works referenced by this work
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| abstract_inverted_index.to | 27 |
| abstract_inverted_index.The | 114, 168 |
| abstract_inverted_index.and | 33, 51, 69, 140, 151, 160, 178 |
| abstract_inverted_index.are | 23, 155 |
| abstract_inverted_index.can | 164 |
| abstract_inverted_index.for | 82, 182 |
| abstract_inverted_index.the | 4, 61, 84, 104, 121, 138, 143, 172 |
| abstract_inverted_index.Such | 58 |
| abstract_inverted_index.This | 77 |
| abstract_inverted_index.case | 129 |
| abstract_inverted_index.cost | 173 |
| abstract_inverted_index.only | 96 |
| abstract_inverted_index.show | 146 |
| abstract_inverted_index.that | 46 |
| abstract_inverted_index.this | 29 |
| abstract_inverted_index.when | 148 |
| abstract_inverted_index.with | 124 |
| abstract_inverted_index.While | 20 |
| abstract_inverted_index.being | 25 |
| abstract_inverted_index.input | 161 |
| abstract_inverted_index.joint | 110 |
| abstract_inverted_index.often | 41 |
| abstract_inverted_index.poses | 11 |
| abstract_inverted_index.rapid | 5 |
| abstract_inverted_index.state | 126 |
| abstract_inverted_index.study | 78, 130 |
| abstract_inverted_index.that, | 147 |
| abstract_inverted_index.using | 95 |
| abstract_inverted_index.aging. | 19 |
| abstract_inverted_index.bridge | 105, 136 |
| abstract_inverted_index.design | 44 |
| abstract_inverted_index.direct | 72 |
| abstract_inverted_index.during | 56 |
| abstract_inverted_index.issue, | 30 |
| abstract_inverted_index.linear | 67 |
| abstract_inverted_index.method | 81, 170 |
| abstract_inverted_index.number | 99 |
| abstract_inverted_index.remain | 36 |
| abstract_inverted_index.sensor | 31 |
| abstract_inverted_index.strong | 53 |
| abstract_inverted_index.system | 123 |
| abstract_inverted_index.unique | 43 |
| abstract_inverted_index.Results | 145 |
| abstract_inverted_index.address | 28 |
| abstract_inverted_index.bridges | 10, 40, 90 |
| abstract_inverted_index.broader | 183 |
| abstract_inverted_index.exhibit | 52 |
| abstract_inverted_index.feature | 42 |
| abstract_inverted_index.further | 15 |
| abstract_inverted_index.limited | 98 |
| abstract_inverted_index.method. | 144 |
| abstract_inverted_index.methods | 50, 64 |
| abstract_inverted_index.relying | 65 |
| abstract_inverted_index.require | 47 |
| abstract_inverted_index.seismic | 85, 134, 162 |
| abstract_inverted_index.sensing | 176 |
| abstract_inverted_index.sensors | 101 |
| abstract_inverted_index.typical | 133 |
| abstract_inverted_index.without | 91 |
| abstract_inverted_index.Abstract | 0 |
| abstract_inverted_index.Bayesian | 125 |
| abstract_inverted_index.actively | 24 |
| abstract_inverted_index.analysis | 49, 119 |
| abstract_inverted_index.approach | 115 |
| abstract_inverted_index.behavior | 55, 59 |
| abstract_inverted_index.critical | 37 |
| abstract_inverted_index.enhances | 171 |
| abstract_inverted_index.insights | 181 |
| abstract_inverted_index.measured | 92 |
| abstract_inverted_index.numerous | 9 |
| abstract_inverted_index.proposed | 169 |
| abstract_inverted_index.proposes | 79 |
| abstract_inverted_index.provides | 179 |
| abstract_inverted_index.regions, | 3 |
| abstract_inverted_index.reliably | 166 |
| abstract_inverted_index.response | 86 |
| abstract_inverted_index.settings | 154 |
| abstract_inverted_index.valuable | 180 |
| abstract_inverted_index.developed | 26 |
| abstract_inverted_index.estimator | 153 |
| abstract_inverted_index.installed | 102 |
| abstract_inverted_index.isolation | 89, 135 |
| abstract_inverted_index.nonlinear | 54, 88, 117, 157 |
| abstract_inverted_index.placement | 32 |
| abstract_inverted_index.practical | 184 |
| abstract_inverted_index.problem). | 113 |
| abstract_inverted_index.responses | 159 |
| abstract_inverted_index.restricts | 60 |
| abstract_inverted_index.selection | 35 |
| abstract_inverted_index.typically | 70 |
| abstract_inverted_index.challenge, | 14 |
| abstract_inverted_index.conditions | 45, 150 |
| abstract_inverted_index.earthquake | 75, 93 |
| abstract_inverted_index.efficiency | 174 |
| abstract_inverted_index.estimation | 112 |
| abstract_inverted_index.evaluation | 7 |
| abstract_inverted_index.indicators | 68 |
| abstract_inverted_index.integrates | 116 |
| abstract_inverted_index.monitoring | 21 |
| abstract_inverted_index.obstacles, | 38 |
| abstract_inverted_index.predicting | 83 |
| abstract_inverted_index.satisfied, | 156 |
| abstract_inverted_index.structural | 158 |
| abstract_inverted_index.(formulated | 106 |
| abstract_inverted_index.appropriate | 152 |
| abstract_inverted_index.estimation. | 127 |
| abstract_inverted_index.exacerbated | 16 |
| abstract_inverted_index.generalized | 48 |
| abstract_inverted_index.measurement | 34, 73 |
| abstract_inverted_index.output-only | 109 |
| abstract_inverted_index.significant | 13 |
| abstract_inverted_index.demonstrates | 137 |
| abstract_inverted_index.earthquakes. | 57 |
| abstract_inverted_index.necessitates | 71 |
| abstract_inverted_index.technologies | 22, 177 |
| abstract_inverted_index.accelerations | 163 |
| abstract_inverted_index.applicability | 62, 139 |
| abstract_inverted_index.effectiveness | 141 |
| abstract_inverted_index.observability | 118, 149 |
| abstract_inverted_index.state–input | 111 |
| abstract_inverted_index.accelerations, | 94 |
| abstract_inverted_index.accelerations. | 76 |
| abstract_inverted_index.infrastructure | 18 |
| abstract_inverted_index.reconstructed. | 167 |
| abstract_inverted_index.implementation. | 185 |
| abstract_inverted_index.post-earthquake | 6 |
| abstract_inverted_index.earthquake-prone | 2 |
| abstract_inverted_index.structure–sensing | 122 |
| cited_by_percentile_year | |
| countries_distinct_count | 2 |
| institutions_distinct_count | 4 |
| citation_normalized_percentile.value | 0.76350609 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |